Sat.May 02, 2020 - Fri.May 08, 2020

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7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science

Analytics Vidhya

Overview Scikit-learn, or sklearn, is the Swiss Army Knife of machine learning libraries Learn key sklearn hacks, tips, and tricks to master the library. The post 7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science appeared first on Analytics Vidhya.

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Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject. He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data.

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The Difference Between Data Architecture and Enterprise Architecture

erwin

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. In simple terms, EA provides a holistic, enterprise wide overview of an organization’s assets and processes, whereas data architecture gets into the nitty gritty.

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COVID-19: Risk Analytics for Building an Early Warning System

Teradata

Advanced analytics & AI techniques can help in curtailing the COVID-19 pandemic. This post describes an analytics prototype to build an early warning system for COVID-19.

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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6 Open Source Data Science Projects to Try at Home!

Analytics Vidhya

Overview Work on your data science skills using these open source projects These open-source data science projects cover a broad range of topics, from. The post 6 Open Source Data Science Projects to Try at Home! appeared first on Analytics Vidhya.

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Data Management 20/20: Data Governance Challenges in a Digital Society

TDAN

The reversal from information scarcity to information abundance and the shift from the primacy of entities to the primacy of interactions has resulted in an increased burden for the data involved in those interactions to be trustworthy. If service and results are substandard or wrong, the reputation of the company can more quickly than ever […].

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Introducing Teradata’s Incoming CEO Steve McMillan

Teradata

Teradata's Board of Directors has selected the company's next President and Chief Executive Officer: Steve McMillan. Read more from interim President and CEO, Vic Lund.

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Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow)

Analytics Vidhya

Introduction I had the pleasure of volunteering for ICLR 2020 last week. ICLR, short for International Conference on Learning Representations, is one of the. The post Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow) appeared first on Analytics Vidhya.

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10 Skill Yang Perlu Dikuasai Seorang Data Analyst

FineReport

Setiap hari, kita menjawab pertanyaan tentang skill seorang data analyst. Beberapa orang bertanya kepada saya, ” Saya cuma tahu cara menggunakan Excel dan cara membuat grafik analisis sejak saya mulai. Menurut saya, data analyst nampaknya cuma menganalisis data bisnis dan saya tidak tahu bagaimana cara meningkatkan skill saya.” Dari Google.

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Why Dashboard & Data Storytelling is vital for a Casino

BizAcuity

The business of land casinos. Over the past two decades, online casinos have evolved into one of the most lucrative businesses on the planet. This has also meant that land casinos need to relook at the way they increase their business to beat the competition of online gaming and casinos. Land casinos now, more than ever, need to focus on how to get customer footfall and how to get repeat customers.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 4: COVID-19 | Implications and Impact on Insurance Industry

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 4: COVID-19 | Implications and Impact on Insurance Industry. Listening time: 12 minutes. COVID-19 | Implications and Impact on Insurance Industry. In this episode, Anirban Chaudhury talks about how insurers the world over are grappling with new and unprecedented challenges to balance high financial losses, increasing new premiums, and rising claims.

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All you Should Know About Datetime Variables in Python and Pandas

Analytics Vidhya

The Complex yet Powerful World of DateTime in Data Science I still remember coming across my first DateTime variable when I was learning Python. The post All you Should Know About Datetime Variables in Python and Pandas appeared first on Analytics Vidhya.

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3 Jenis Laporan Yang Perlu Dipelajari Seorang Business Analyst

FineReport

Dalam kerjaan sehari-hari, ketika dihadapkan kepada pembuatan tabel atau grafik ataupun analisis data, Anda kemungkinan akan memilih Excel. Tapi saya juga melihat banyak orang yang kebingungan dalam rumitnya deep learning Excel dan ketidakefisiennya dalam memproses big data. Faktanya, seorang business analyst profesional harusnya mahir dalam menggunakan berbagai software pembuat laporan (Excel/ QlikView/ Tableau/ FineReport) dan juga mahir dalam membuat berbagai laporan yang berbeda.

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Data Equals Truth, and Truth Matters

erwin

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term. But the real challenges will be accelerating recovery and crisis-proofing your business to mitigate the impact of “the next big thing.”.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 3: COVID19 and Changing business landscape in Europe

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 3: COVID19 and Changing business landscape in Europe. Listening time: 12 minutes. COVID-19 and Changing business landscape in Europe. In this episode, Monideepa Bhattacharya discusses the impact of COVID19 on the business landscape in Europe. She feels while the short-term focus will be on crisis-management and survival, businesses will increasingly turn to intelligent automation across sectors once they start recovering.

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The Art of Storytelling in Analytics and Data Science | How to Create Data Stories?

Analytics Vidhya

Introduction The idea of storytelling is fascinating; to take an idea or an incident, and turn it into a story. It brings the idea. The post The Art of Storytelling in Analytics and Data Science | How to Create Data Stories? appeared first on Analytics Vidhya.

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Grafik Dinamis: Gerakkan Data Anda

FineReport

Bagaimana Cara Kerja Grafik Dinamis? Dibuat Dengan FineReport. Gambar diatas adalah dashboard yang dibuat dengan FineReport yang memiliki grafik dinamis. Dengan mengklik posisi pie chart yang bersangkutan, Anda dapat menampilkan data di suatu area yang spesifik. Mari bandingkan data yang dipresentasikan dengan Excel. Apakah Anda rasa tampilannya nampak membosankan dan mati?

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Analytics on the edge using IBM Cloud Pak for Data

IBM Big Data Hub

As we grow smarter and more sophisticated, thanks to rapidly enhancing technological innovations, enterprise data management and analytics have to keep pace to ensure organizations continue to remain effective and data- and insights-driven.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

Everything Changes. COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. Every decision by every executive leader need information: What investments to furlough or delay, or accelerate? What initiatives to curtail, cancel or double down with?

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Business Analytics Assessment Test Results

Analytics Vidhya

You Scored > 50 Basis your assessment score – we recommend you to join the “Certified Business Analytics program” and learn all about business. The post Business Analytics Assessment Test Results appeared first on Analytics Vidhya.

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The Path to Integrated Planning

Jedox

To successfully move from outdated spreadsheet workflows to using integrated financial planning, there are important considerations on this path. In our new two part blog series, we will discuss how the Office of Finance can embark on the path to successful integrated planning. Ensure senior management support. The recognition that old structures in FP&A must be revamped is of course old news, yet many organizations are still struggling with doing the needed revamp.

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IBM Cloud Pak for Data enhances DataOps services to deliver business agility with cost savings and risk reduction

IBM Big Data Hub

Today’s market conditions elevate the need to put trusted data into the right hands almost in real-time. The market has been experiencing a dramatic demand for near-frictionless, fact-based decision-making processes. With business continuity top of mind, leaders are turning to DataOps programs to deliver trusted data quickly by creating trusted data pipelines between data sources and data users mapped to their critical business objectives.

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Azure Data Sources for Data Science and Machine Learning

Jen Stirrup

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. If you prefer video, you can catch the video here. How can you differentiate the different opportunities to store your data in Azure? Now, it may not sound that interesting, but it’s crucial; if you don’t have your data, then you don’t have your business.

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Measuring Bias in Machine Learning: The Statistical Bias Test

DataCamp

This tutorial will define statistical bias in a machine learning model and demonstrate how to perform the test on synthetic data.

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How to Centralize Your Data

TDAN

Many businesses keep their data in silos and employ analytics at a process or departmental level. Centralizing these data silos to create a data mart, warehouse, or lake gives organizations more visibility over operations and results in more accurate analytics that take a wider range of internal and external factors into consideration. Among other things, […].

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Streamlining the AI model risk management process

IBM Big Data Hub

Many financial firms are increasing their use of AI models because they can represent the real world more accurately, and they can deliver better projections than traditional, rule-based models. But some AI models can add complexity and risk. You can minimize that risk and also streamline the process of model validation by using IBM Cloud Pak for Data , a data and AI platform that includes IBM Watson Studio, Watson Machine Learning, Watson OpenScale and other services.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Building A World Class Genetics Center Based On Data Scalability

Bruno Aziza

How Regeneron is using Databricks to Build a Genetics Center at Scale.

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Automotive Industry: Navigating Post-COVID-19

Teradata

As we entered 2020, the Automotive industry was facing several challenges. The current pandemic has taken an already difficult situation to another level. Learn how data analytics can help.

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Real-Time BI for Customer Retention

TDAN

Real-Time Business Intelligence (RTBI) lets users access the information that happened recently via a dashboard. The recent information can be an event that occurred a few milliseconds ago or before an hour. The latency of this data depends on the analytical purpose. For marketing, the latency must be of least value. Google Analytics is an […].

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Simplicity drives Netezza

IBM Big Data Hub

Simplicity is the ultimate sophistication. While there is debate about who originally coined this phrase, one thing that remains undisputed is that Netezza set the standards on what simplicity of use means in the world of enterprise data warehousing and analytics.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.